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Edwin Villarreal-López

Edwin Villarreal-López
University of San Buenaventura, Colombia, Bogotá · Faculty of Engineering

Master of Engineering

About

11
Publications
6,543
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25
Citations
Introduction
Skills and Expertise

Publications

Publications (11)
Chapter
Full-text available
In this paper, the parameterization of active disturbance rejection joint controllers for the Mitsubishi RV-M1 robotic manipulator is addressed by the simulated annealing metaheuristic performed online. The proposed approach solves the problem of controller bandwidth and input gain selection due to nonlinearities and practical considerations by mea...
Chapter
Full-text available
In wind turbines is conventional to design controllers for each region of operation, i.e. wind energy maximization (region 2) or power regulation (region 3). Then, it is usual to switch between these controllers. In this paper, a bumpless transfer control approach is proposed to address the problem of switching between controllers for wind turbines...
Conference Paper
In this paper, the parameterization of active disturbance rejection joint controllers for the Mitsubishi RV-M1 robotic manipulator is addressed by the simulated annealing metaheuristic performed online. The proposed approach solves the problem of controller bandwidth and input gain selection due to nonlinearities and practical considerations by mea...
Article
Full-text available
Although Fault Detection and Isolation systems have been widely studied in recent years, it is still a very active research field due to its relevance in industrial production systems. In this paper, a new approach for multiple fault detection by using residual evaluation is proposed. First, an analytical redundancy scheme for residual generation...
Article
Full-text available
Este artículo presenta el estado actual de las técnicas de inteligencia artificial y su aplicación al campo de la detección y diagnóstico de fallas en sistemas dinámicos. Inicialmente, se hace una breve descripción de lo que se considera un mecanismo de detección y diagnóstico de fallas, y se explican los enfoques actuales de estudio y aplicación d...
Conference Paper
Full-text available
In fault detection, data-driven methods are limited by the lack of knowledge about faults. This paper presents an approach based in statistical modeling, which uses normal operation information for training a Gaussian Mixture Model. Such model has been widely used in speaker verification, because is capable of mapping the observations into a multid...
Article
Full-text available
El propósito de este artículo es presentar estrategias generales de entrenamiento para redes neuronales de números difusos utilizadas en el aprendizaje de sistemas a partir de información lingüística. Se exponen brevemente las principales tendencias en el entrenamiento de este tipo de sistemas y con base en ellas se proponen nuevas estrategias. La...
Article
Full-text available
This paper presents the design and implementation of a mobile robot with regenerative braking system for DC motors. The DC motors converts the kinetic energy into electric energy when the robot is braking. The charging module increases the voltage generated by the motors using a boost DC-DC converter, along with a closed loop voltage regulation. Th...
Article
Full-text available
This article describes the development of a security monitoring device for vehicles which gives instant reports to the user about any anomaly that occurs in his absence. This device also allows remote and local control actions, using GSM technology and Bluetooth, giving more functionality than common vehicle security systems. In this paper the diff...

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